An advanced AI-driven research skill for deep literature analysis, automated synthesis, and structured knowledge extraction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install book-deep-study
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install book-deep-study using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Book Deep Study?
Book Deep Study is a specialized technical skill designed for high-intensity research and knowledge management. By leveraging the power of Openclaw Skills, this tool automates the process of reading through entire books or long-form technical documents to extract core concepts, synthesize complex arguments, and generate detailed study notes. It moves beyond simple summarization by performing a multi-pass analysis that ensures semantic continuity and thematic depth.
This skill is an essential component of the Openclaw Skills ecosystem for users who need to digest massive amounts of documentation or literature quickly. It transforms passive reading into an active, automated workflow that produces high-fidelity outputs suitable for academic research, professional development, and technical mastery.
Book Deep Study Use Cases
- Synthesizing complex technical manuals or whitepapers for rapid onboarding.
- Generating comprehensive study guides and chapter-by-chapter summaries for academic literature.
- Extracting specific cross-references and recurring themes across multiple volumes.
- Building a structured personal knowledge base from professional development books.
How Book Deep Study Works
- Ingest the target document or book file into the AI agent workspace.
- Execute the partitioning logic to divide the text into semantically relevant segments.
- Apply recursive analysis to identify primary arguments, supporting data, and key definitions.
- Aggregate segmented findings into a comprehensive synthesis report or structured knowledge graph.
Book Deep Study Setup
To deploy this skill within your workspace, use the standard installation command for Openclaw Skills:
openclaw install book-deep-study
Once installed, place your source PDF or Markdown files in the /input directory and configure your analysis depth in the local config file.
Book Deep Study Data Schema & Taxonomy
The Book Deep Study skill organizes its output into a highly structured taxonomy for easy integration with other Openclaw Skills:
| Component | Type | Description |
|---|---|---|
/summaries/ |
Directory | Granular chapter-level analysis and key takeaways. |
synthesis.md |
File | The final synthesized report covering the entire book. |
concepts.json |
JSON | A structured list of defined terms and major entities found. |
metadata.json |
JSON | Extraction statistics, source tracking, and processing logs. |
Book Deep Study Advanced Features
- Multi-agent verification workflows to cross-check extracted facts for high accuracy.
- Custom prompt hooks for domain-specific analysis, such as legal or medical focus.
- Integration with external PKM tools like Obsidian for automated vault population.
- Support for multi-language translation and synthesis during the deep study process.
SKILL.md
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